R: Control Error Rate Estimators

control.errorest {ipred} | R Documentation

## Control Error Rate Estimators

### Description

Some parameters that control the behaviour of `errorest`.

### Usage

    control.errorest(k = 10, nboot = 25, strat = FALSE, random = TRUE,
                     predictions = FALSE, getmodels=FALSE, list.tindx = NULL)

### Arguments

`k` | integer, specify $k$ for $k$-fold cross-validation.
`nboot` | integer, number of bootstrap replications.
`strat` | logical, if `TRUE`, cross-validation is performed using stratified sampling (for classification problems).
`random` | logical, if `TRUE`, cross-validation is performed using a random ordering of the data.
`predictions` | logical, indicates whether the prediction for each observation should be returned or not (classification and regression only). For a bootstrap based estimator a matrix of size 'number of observations' times nboot is returned with predicted values of the ith out-of-bootstrap sample in column i and 'NA's for those observations not included in the ith out-of-bootstrap sample.
`getmodels` | logical, indicates a list of all models should be returned. For cross-validation only.
`list.tindx` | list of numeric vectors, indicating which observations are included in each bootstrap or cross-validation sample, respectively.

### Value

A list with the same components as arguments.

[Package ipred version 0.9-6 Index]